Triple
T8751125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lawangan language |
E207956
|
entity |
| Predicate | hasAlternateName |
P39
|
FINISHED |
| Object |
Luwangan
Luwangan is an Austronesian language spoken by the Lawangan people of central Indonesia, particularly in parts of Kalimantan.
|
E755360
|
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: Luwangan | Statement: [Lawangan language, hasAlternateName, Luwangan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luwangan Context triple: [Lawangan language, hasAlternateName, Luwangan]
-
A.
Watugaluh
Watugaluh was an important historical city in Java that served as the political and administrative center of the Medang Kingdom.
-
B.
Lutayan
Lutayan is a municipality in the province of Sultan Kudarat in the Philippines, known for its agricultural economy and proximity to Lake Buluan.
-
C.
Guting
Guting is a key Taipei Metro station in central Taipei that serves as a transfer point between multiple subway lines.
-
D.
Leuwiliang
Leuwiliang is a district-level area in West Java, Indonesia, known as part of the greater Bogor region.
-
E.
Dulag
Dulag is a coastal municipality on the island of Leyte in the Philippines, historically notable as one of the main landing sites for Allied forces during the Battle of Leyte Gulf in World War II.
- 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: Luwangan Triple: [Lawangan language, hasAlternateName, Luwangan]
Generated description
Luwangan is an Austronesian language spoken by the Lawangan people of central Indonesia, particularly in parts of Kalimantan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Luwangan Target entity description: Luwangan is an Austronesian language spoken by the Lawangan people of central Indonesia, particularly in parts of Kalimantan.
-
A.
Watugaluh
Watugaluh was an important historical city in Java that served as the political and administrative center of the Medang Kingdom.
-
B.
Lutayan
Lutayan is a municipality in the province of Sultan Kudarat in the Philippines, known for its agricultural economy and proximity to Lake Buluan.
-
C.
Guting
Guting is a key Taipei Metro station in central Taipei that serves as a transfer point between multiple subway lines.
-
D.
Leuwiliang
Leuwiliang is a district-level area in West Java, Indonesia, known as part of the greater Bogor region.
-
E.
Dulag
Dulag is a coastal municipality on the island of Leyte in the Philippines, historically notable as one of the main landing sites for Allied forces during the Battle of Leyte Gulf in World War II.
- 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_69ca835bb2bc819084bb5906cb6ef7f8 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5da774f4819099e5bfd12973d946 |
completed | March 31, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf4326d8cc8190900f5f91da6ef6c8 |
completed | April 3, 2026, 4:33 a.m. |
| NEDg | Description generation | batch_69cf4462da648190a621397fa88dd4bd |
completed | April 3, 2026, 4:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf454c4d248190a925b15c23af1a24 |
completed | April 3, 2026, 4:42 a.m. |
Created at: March 30, 2026, 6:39 p.m.