Triple
T2519862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Batasang Pambansa Complex |
E55496
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Batasan Hall
Batasan Hall is the main legislative building in the Philippines where the House of Representatives holds its sessions.
|
E275371
|
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: Batasan Hall | Statement: [Batasang Pambansa Complex, hasPart, Batasan Hall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Batasan Hall Context triple: [Batasang Pambansa Complex, hasPart, Batasan Hall]
-
A.
Mapo Hall
Mapo Hall is a historic colonial-era city hall and iconic civic center located on Mapo Hill in Ibadan, Nigeria.
-
B.
Pantas Hall
Pantas Hall is a notable building and campus landmark located at Pratt Institute’s Brooklyn campus.
-
C.
Lanman-Wright Hall
Lanman-Wright Hall is a historic Yale University residence hall located on the Old Campus that primarily houses first-year students.
-
D.
Aldrich Hall
Aldrich Hall is a primary classroom and academic building at Harvard Business School, known for hosting many of the school’s MBA courses and case-method discussions.
-
E.
McGonigle Hall
McGonigle Hall is an on-campus athletic facility at Temple University in Philadelphia that has hosted basketball games and other university sporting and community events.
- 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: Batasan Hall Triple: [Batasang Pambansa Complex, hasPart, Batasan Hall]
Generated description
Batasan Hall is the main legislative building in the Philippines where the House of Representatives holds its sessions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Batasan Hall Target entity description: Batasan Hall is the main legislative building in the Philippines where the House of Representatives holds its sessions.
-
A.
Mapo Hall
Mapo Hall is a historic colonial-era city hall and iconic civic center located on Mapo Hill in Ibadan, Nigeria.
-
B.
Pantas Hall
Pantas Hall is a notable building and campus landmark located at Pratt Institute’s Brooklyn campus.
-
C.
Lanman-Wright Hall
Lanman-Wright Hall is a historic Yale University residence hall located on the Old Campus that primarily houses first-year students.
-
D.
Aldrich Hall
Aldrich Hall is a primary classroom and academic building at Harvard Business School, known for hosting many of the school’s MBA courses and case-method discussions.
-
E.
McGonigle Hall
McGonigle Hall is an on-campus athletic facility at Temple University in Philadelphia that has hosted basketball games and other university sporting and community events.
- 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_69ab49e4749c8190813311efd1630f1b |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd2343e3081908819dc58d8ff40ce |
completed | March 7, 2026, 7:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af2ba2adc081908a0c7ff24db89de6 |
completed | March 9, 2026, 8:20 p.m. |
| NEDg | Description generation | batch_69af51dee3508190a0d1608a7d905742 |
completed | March 9, 2026, 11:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69af52a97d008190b55491fa557eb729 |
completed | March 9, 2026, 11:07 p.m. |
Created at: March 6, 2026, 9:46 p.m.