Triple
T12386846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maitum |
E295887
|
entity |
| Predicate | hasBarangay |
P29835
|
FINISHED |
| Object |
Ticulab
Ticulab is a rural barangay within the municipality of Maitum in the province of Sarangani, Philippines.
|
E979450
|
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: Ticulab | Statement: [Maitum, hasBarangay, Ticulab]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ticulab Context triple: [Maitum, hasBarangay, Ticulab]
-
A.
Tinoc
Tinoc is a dialect of the Kalanguya language spoken by indigenous communities in the Tinoc area of Ifugao province in the northern Philippines.
-
B.
Tiklal
Tiklal is the traditional prayer book of the Yemenite Jewish community, containing the full liturgy and customs of the Baladi rite.
-
C.
Tobalaba
Tobalaba is a major Santiago Metro station in Chile that serves as an important transfer point between multiple lines in the city’s rapid transit network.
-
D.
Tialo
Tialo is an Austronesian language of the Tomini–Tolitoli subgroup spoken in Central Sulawesi, Indonesia.
-
E.
Tiendesitas
Tiendesitas is a popular shopping and lifestyle complex in Pasig, Metro Manila, known for its Filipino-themed architecture, handicrafts, food, and live entertainment.
- 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: Ticulab Triple: [Maitum, hasBarangay, Ticulab]
Generated description
Ticulab is a rural barangay within the municipality of Maitum in the province of Sarangani, Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ticulab Target entity description: Ticulab is a rural barangay within the municipality of Maitum in the province of Sarangani, Philippines.
-
A.
Tinoc
Tinoc is a dialect of the Kalanguya language spoken by indigenous communities in the Tinoc area of Ifugao province in the northern Philippines.
-
B.
Tiklal
Tiklal is the traditional prayer book of the Yemenite Jewish community, containing the full liturgy and customs of the Baladi rite.
-
C.
Tobalaba
Tobalaba is a major Santiago Metro station in Chile that serves as an important transfer point between multiple lines in the city’s rapid transit network.
-
D.
Tialo
Tialo is an Austronesian language of the Tomini–Tolitoli subgroup spoken in Central Sulawesi, Indonesia.
-
E.
Tiendesitas
Tiendesitas is a popular shopping and lifestyle complex in Pasig, Metro Manila, known for its Filipino-themed architecture, handicrafts, food, and live entertainment.
- 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fbd489c819098233a111442762e |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62ac939bc819081629b9eef20c4e7 |
completed | May 2, 2026, 4:48 p.m. |
| NEDg | Description generation | batch_69f62c7b28588190839c35c19856d16f |
completed | May 2, 2026, 4:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62e403a308190a2bba3fefc420932 |
completed | May 2, 2026, 5:02 p.m. |
Created at: April 8, 2026, 9:54 p.m.