Triple
T11588684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haarajoki railway station |
E274820
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
Haa
Haa is the station code for Haarajoki railway station in Finland’s rail network.
|
E935050
|
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: Haa | Statement: [Haarajoki railway station, hasStationCode, Haa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haa Context triple: [Haarajoki railway station, hasStationCode, Haa]
-
A.
HAA
HAA is the Harvard Alumni Association, the organization that connects and serves Harvard University’s global community of alumni.
-
B.
Haak
Haak was the original publisher of the first edition of the influential botanical work "Genera Plantarum."
-
C.
A Ha
"A Ha" is a track from the album *True Magic* by American rapper and producer Mos Def.
-
D.
Hau
Hau is the surname of Danish physicist Lene Vestergaard Hau, known for her pioneering work in slowing and stopping light.
-
E.
AHHH HA
"AHHH HA" is a 2022 drill-rap track by Lil Durk known for its aggressive delivery and confrontational lyrics within the Chicago rap scene.
- 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: Haa Triple: [Haarajoki railway station, hasStationCode, Haa]
Generated description
Haa is the station code for Haarajoki railway station in Finland’s rail network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Haa Target entity description: Haa is the station code for Haarajoki railway station in Finland’s rail network.
-
A.
HAA
HAA is the Harvard Alumni Association, the organization that connects and serves Harvard University’s global community of alumni.
-
B.
Haak
Haak was the original publisher of the first edition of the influential botanical work "Genera Plantarum."
-
C.
A Ha
"A Ha" is a track from the album *True Magic* by American rapper and producer Mos Def.
-
D.
Hau
Hau is the surname of Danish physicist Lene Vestergaard Hau, known for her pioneering work in slowing and stopping light.
-
E.
AHHH HA
"AHHH HA" is a 2022 drill-rap track by Lil Durk known for its aggressive delivery and confrontational lyrics within the Chicago rap scene.
- 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_69d6aae6b14c81908dc5a74bad7591f9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d89463360c8190b91228c46bfe2e5f |
completed | April 10, 2026, 6:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e71451f1388190b72d7b755d198999 |
completed | April 21, 2026, 6:08 a.m. |
| NEDg | Description generation | batch_69e720fb192881909c129f93c8b88f42 |
completed | April 21, 2026, 7:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e7233efb6c81909dbf1aef080f5598 |
completed | April 21, 2026, 7:11 a.m. |
Created at: April 8, 2026, 9:38 p.m.