Triple
T17104120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port of Teluk Bayur |
E415053
|
entity |
| Predicate | formerlyKnownAs |
P65
|
FINISHED |
| Object |
Emmahaven
Emmahaven is the former name of the Port of Teluk Bayur, a major seaport serving the city of Padang on the west coast of Sumatra, Indonesia.
|
E1250470
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Emmahaven | Statement: [Port of Teluk Bayur, formerlyKnownAs, Emmahaven]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emmahaven Context triple: [Port of Teluk Bayur, formerlyKnownAs, Emmahaven]
-
A.
Stars Hollow
Stars Hollow is the quirky, close-knit small-town setting of the television series "Gilmore Girls," known for its eccentric residents and charming New England atmosphere.
-
B.
Haven
Haven is a supernatural mystery television series set in a small Maine town plagued by strange, unexplained phenomena.
-
C.
Haven
Haven is the fictional war-torn city and primary battleground in Patrick Ness’s dystopian young adult novel "Monsters of Men."
-
D.
Haven
Haven is a prominent port city in the southern Valenwood region of The Elder Scrolls universe, serving as a key Bosmeri trade and cultural center.
-
E.
Haven
"Haven" is a literary work by British writer and socialite Elizabeth Asquith, reflecting her early 20th-century intellectual and artistic milieu.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Emmahaven Triple: [Port of Teluk Bayur, formerlyKnownAs, Emmahaven]
Generated description
Emmahaven is the former name of the Port of Teluk Bayur, a major seaport serving the city of Padang on the west coast of Sumatra, Indonesia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Emmahaven Target entity description: Emmahaven is the former name of the Port of Teluk Bayur, a major seaport serving the city of Padang on the west coast of Sumatra, Indonesia.
-
A.
Stars Hollow
Stars Hollow is the quirky, close-knit small-town setting of the television series "Gilmore Girls," known for its eccentric residents and charming New England atmosphere.
-
B.
Haven
Haven is a supernatural mystery television series set in a small Maine town plagued by strange, unexplained phenomena.
-
C.
Haven
Haven is the fictional war-torn city and primary battleground in Patrick Ness’s dystopian young adult novel "Monsters of Men."
-
D.
Haven
"Haven" is a literary work by British writer and socialite Elizabeth Asquith, reflecting her early 20th-century intellectual and artistic milieu.
-
E.
Haven
Haven is a prominent port city in the southern Valenwood region of The Elder Scrolls universe, serving as a key Bosmeri trade and cultural center.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dc2591a881909c5f4f7db47f4d6c |
completed | April 18, 2026, 7:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0139ffbe808190a24e827331ee4a6c |
completed | May 11, 2026, 2:07 a.m. |
| NEDg | Description generation | batch_6a013ae388548190b09d2c81e1ab0d02 |
completed | May 11, 2026, 2:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a013b4df74c81908b3b99e276531e13 |
completed | May 11, 2026, 2:13 a.m. |
Created at: April 10, 2026, 5:35 a.m.