Triple
T9733042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Molo Church |
E235991
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Molo district
Molo district is an area in Iloilo City, Philippines, known for its historic heritage and religious landmarks.
|
E818498
|
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: Molo district | Statement: [Molo Church, locatedIn, Molo district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Molo district Context triple: [Molo Church, locatedIn, Molo district]
-
A.
Duji District
Duji District is an administrative urban district of Huaibei City in Anhui Province, eastern China.
-
B.
Yanta District
Yanta District is an urban district of Xi'an in Shaanxi Province, China, known for its cultural and historical landmarks and educational institutions.
-
C.
Mapo District
Mapo District is a vibrant administrative and cultural area in western Seoul, South Korea, known for neighborhoods like Hongdae and its lively arts, nightlife, and dining scenes.
-
D.
Govuro District
Govuro District is an administrative district located in Inhambane Province in southern Mozambique.
-
E.
Dokki District
Dokki District is a prominent residential and commercial neighborhood in Giza, Egypt, known for its embassies, educational institutions, and proximity to central Cairo.
- 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: Molo district Triple: [Molo Church, locatedIn, Molo district]
Generated description
Molo district is an area in Iloilo City, Philippines, known for its historic heritage and religious landmarks.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Molo district Target entity description: Molo district is an area in Iloilo City, Philippines, known for its historic heritage and religious landmarks.
-
A.
Duji District
Duji District is an administrative urban district of Huaibei City in Anhui Province, eastern China.
-
B.
Yanta District
Yanta District is an urban district of Xi'an in Shaanxi Province, China, known for its cultural and historical landmarks and educational institutions.
-
C.
Mapo District
Mapo District is a vibrant administrative and cultural area in western Seoul, South Korea, known for neighborhoods like Hongdae and its lively arts, nightlife, and dining scenes.
-
D.
Govuro District
Govuro District is an administrative district located in Inhambane Province in southern Mozambique.
-
E.
Dokki District
Dokki District is a prominent residential and commercial neighborhood in Giza, Egypt, known for its embassies, educational institutions, and proximity to central Cairo.
- 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_69ca84d313e88190983ee6ffd0ef60d2 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9eb54fe481908b0202f104b75dc1 |
completed | April 1, 2026, 10:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1afc4dcc4819096d29c1a0529d272 |
completed | April 5, 2026, 12:41 a.m. |
| NEDg | Description generation | batch_69d1b06d39b48190adaadbc81b4ffb9a |
completed | April 5, 2026, 12:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1b1511c7c8190ba7bc691ab2d3a13 |
completed | April 5, 2026, 12:48 a.m. |
Created at: March 30, 2026, 8:22 p.m.